This really depends on the workload. For general web servers usage, it works just fine and is cheaper than x86. For straight costs it’s an easy swap, pair it with spot instance usage and you’re in a sweet spot. Only things you really need to worry about is some code compatibility which AWS has some tools to help with like the Graviton porting assistant. For benchmarking.. it’s best for multi threaded apps so you might not see much performance increase over x86 depending on your application or usage. But same performance for less costs is nice. Answer from nope_nope_nope_yep_ on reddit.com
GitHub
github.com › aws-samples › sqs-ec2-graviton-spot
GitHub - aws-samples/sqs-ec2-graviton-spot: This repo is used in the AWS Well-Architected Sustainability workshop in oder to showcase the Event-driven architecture with AWS Graviton Processors and Amazon EC2 Spot Instances lab
Our Auto Scaling Group uses a Dynamic ... EC2 Instances · The Graviton & Spot based instances will retrieve the workload information from the queue and will execute it...
Author aws-samples
Medium
florent-brosse.medium.com › how-to-optimize-cost-with-aws-graviton-and-spot-in-amazon-elastic-kubernetes-service-eks-85287d736f48
How to optimize cost with AWS Graviton and Spot in Amazon Elastic Kubernetes Service (EKS) | by Florent Brosse | Medium
January 5, 2021 - AWS Graviton2-based deliver up ... machine learning inference. Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud....
Videos
55:10
AWS re:Invent 2024 - Optimize your AI/ML workloads with Amazon ...
14:45
AWS re:Invent 2024 - Use cases for migrating workloads to AWS ...
AWS re:Invent 2024 - Run workloads efficiently on EKS with ...
31:23
ESCCE 07-09-24 - Sharethrough’s adoption for Graviton and Spot ...
31:54
AWS re:Invent 2020: Deep dive on AWS Graviton2 processor-powered ...
Spot.io
spot.io › home › aws eks › eks simplified on ec2 graviton2 instances
EKS simplified on EC2 Graviton2 instances | Spot.io
September 12, 2024 - Powering all this is the EC2 instances provisioned by AWS, who are gradually making available a new generation of EC2 Graviton instances, which allow for more applications to run without the need for more CPU cores and memory, providing an ideal environment for fast-scaling applications.
nOps
nops.io › glossary › what-is-aws-graviton
What is AWS Graviton? | nOps
September 18, 2024 - Reserved Instances/Savings Plans: ... reduce hourly costs. Spot Instances: Purchase unused Amazon EC2 capacity at potentially significant discounts compared to the On-Demand price....
EKS Workshop
eksworkshop.com › managed node groups › graviton (arm) instances
Graviton (ARM) instances | EKS Workshop
Whether you're using On-demand or Spot instances, AWS offers 3 processor types for EC2 as well as EC2-backed EKS managed node groups. Customers have the choice of Intel, AMD, and ARM (AWS Graviton) processors.
AWS
aws.amazon.com › compute › amazon ec2 › graviton
ARM Processor - Performance Processor - AWS EC2 Graviton - AWS
1 week ago - AWS Graviton is a family of processors designed to deliver the best price performance for your cloud workloads running in Amazon Elastic Compute Cloud (Amazon EC2). Choose the AWS Graviton-based instance that best meets your needs.
Reddit
reddit.com › r/aws › what’s your experience with aws graviton processors?
r/aws on Reddit: What’s your experience with AWS Graviton processors?
December 20, 2024 -
I'm curious to hear about your practical experiences with AWS Graviton processors (Graviton2 or Graviton3). How do they perform compared to x86-based instances for tasks like web hosting, data processing, or containerized workloads? Have you seen noticeable cost savings, and were there any challenges during migration or compatibility issues with software? Any benchmarking tips or lessons learned would be greatly appreciated!
Top answer 1 of 25
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This really depends on the workload. For general web servers usage, it works just fine and is cheaper than x86. For straight costs it’s an easy swap, pair it with spot instance usage and you’re in a sweet spot. Only things you really need to worry about is some code compatibility which AWS has some tools to help with like the Graviton porting assistant. For benchmarking.. it’s best for multi threaded apps so you might not see much performance increase over x86 depending on your application or usage. But same performance for less costs is nice.
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Read this on LinkedIn “This is an important fact to understand about AWS EC2 that was emphasized at multiple #reinvent sessions: For almost all x86 instances, a vCPU is equivalent to a hyperthread (Simultaneous Multi-Thread), but for Graviton instances, a vCPU is equivalent to a physical core. The consequence of this is that once you hit 50% load on all your hyperthreaded vCPUs you’ll see workload latencies skyrocket, because your vCPUs are sharing physical processors. You won’t see this behavior on your Graviton instances, which can generally be pushed to 80+% sustained load without seeing throughput degradation. So if you’re switching to Graviton, don’t just use your existing autoscaling formulas! Push the Graviton vCPUs harder and save more resources.”
AWSstatic
d1.awsstatic.com › events › Summits › reinvent2023 › CMP328-R_Optimize-Amazon-EKS-workloads-Spot-Instances-Karpenter-and-Graviton-REPEAT.pdf pdf
Optimize Amazon EKS workloads: Spot Instances, Karpenter ...
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Rapyder
rapyder.com › home › elevate cloud cost optimization with graviton and spot instance integration cloud computing
Elevate Cloud Cost Optimization with Graviton and Spot Instance Integration cloud computing - Rapyder
August 8, 2024 - Effective spot instance management not only prevents instances from going missing but also plays a crucial role in optimizing your AWS costs by allowing you to use spot instances at the lowest available price. Graviton is the best price-performance processor designed by AWS for cloud workloads in EC2.
Cloudera
docs.cloudera.com › data-engineering › cloud › enable-data-engineering › topics › cde-aws-graviton.html
AWS Graviton instances in Cloudera Data Engineering
With AWS Graviton, you can use SSD instances and spot instances.
AWS
aws.amazon.com › blogs › compute › implementing-advanced-aws-graviton-adoption-strategies-across-aws-regions
Implementing advanced AWS Graviton adoption strategies across AWS Regions | Amazon Web Services
August 26, 2025 - First, the Spot Instance Advisor provides valuable information about the interruption frequency of different instance types across AWS Regions. Use this tool to identify Graviton instance types with lower interruption rates in your target AWS ...
AWS
aws.amazon.com › blogs › containers › how-to-build-your-containers-for-arm-and-save-with-graviton-and-spot-instances-on-amazon-ecs
How to build your containers for ARM and save with Graviton and Spot instances on Amazon ECS | Amazon Web Services
October 13, 2021 - You can use a variety of EC2 instance types which are Arm-based in your ECS cluster. Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud and are available at a discount compared to on-demand prices.
AWS
docs.aws.amazon.com › aws prescriptive guidance › optimize costs for microsoft workloads on aws › .net › use graviton instances and containers
Use Graviton instances and containers - AWS Prescriptive Guidance
How to build your containers for ARM and save with Graviton and Spot instances on Amazon ECS
GitLab
about.gitlab.com › blog › engineering › how to provision 100 aws graviton gitlab spot runners in 10 minutes for $2/hour
How to provision 100 AWS Graviton GitLab Spot Runners in 10 Minutes for $2/hour
August 17, 2021 - Utilizing the GitLab HA Scaling Runner Vending Machine for AWS Automation to setup 100 GitLab runners on AWS Spot.
AWS
aws.amazon.com › about-aws › whats-new › 2024 › 09 › amazon-ecs-graviton-based-spot-compute-fargate
Amazon ECS now supports AWS Graviton-based Spot compute with AWS Fargate - AWS
To get started, just configure your task definition just like you do today with cpu-architecture = ARM64 and choose FARGATE_SPOT as the capacity provider to run your Amazon ECS service or a standalone task. Amazon ECS will leverage spare AWS Graviton-based compute capacity available in the AWS cloud for running your service or task.
Medium
medium.com › @skondakoff › how-i-saved-a-client-3-000-month-with-aws-graviton-and-spot-instances-a-cost-optimization-deep-cca47da734d0
How I Saved a Client $3,000/Month with AWS Graviton and Spot Instances — A Cost Optimization Deep Dive | by Svetlozar Kondakov | Medium
April 24, 2025 - We migrated 60% of their workloads to Graviton-backed instances. The services experienced: ... It was a big win — and we weren’t done yet. Next, we introduced EC2 Spot Instances for batch jobs, long-running data transformations, and dev/test environments.
Reddit
reddit.com › r/aws › performance of graviton-based ec2 instances than intel and amd-based instances?
r/aws on Reddit: Performance of Graviton-based EC2 instances than Intel and AMD-based instances?
August 31, 2021 -
I notice that the price of Graviton-based EC2 instances are cheaper than Intel-based and AMD-based instances. My company is planning to deploy a new solution that uses an Auto Scaling group of EC2 instances and they've been asking our team for a cost-effective solution for this. A Serverless option isn't an option for our use case.
We've been doing some checking for Graviton EC2 instances using a CPU Profiler but that takes some time to complete.
Anyone here having issues with Graviton-based instances too?
Another consideration is the computer architecture and migrate our apps to Graviton. We're having some issues when launching our current AMI
Top answer 1 of 4
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The problems I've run into mostly stems from libraries that have optimizations written in assembly for amd64, but no equivalents written for ARM. It hasn't been a problem for most of our workloads, but it has resulted in a couple of days sunk into chasing the performance differences.
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Performance depends a lot on the application. The latest M6i instances also offer great price/performance, often on par with Graviton and require no porting work (which is usually less than people imagine). Phoronix did a comprehensive benchmark the other week and I was impressed, but as always better to do your own benchmarks if you can. But they're also probably not going to be a good fit for Spot for the near future because of insufficient spare capacity/diversification potential. So for now I'd recommend both Graviton and M6i with savings plans, and all other instances for Spot. I expect the pricing and interruptions for M5 and friends to improve over the next few months as people flock to M6i. Disclosure: I work at AWS as Spot SA but this is my personal opinion, not necessarily the official position of AWS on these matters.
Eric Pauley
pauley.me › post › 2022 › spot-instance-pricing
Leveraging Mispriced AWS Spot Instances for Fun and Savings | Eric Pauley
October 20, 2022 - Each instance type is noted by its family (generation, what it’s optimized for, architecture, and any other features), and size in CPU cores. For instance, a c6gd.12xlarge is a Compute-optimized, 6th-generation Graviton instance with an NVMe Drive, and 48 cores (xlarge is 4 cores).
GitHub
github.com › aws › containers-roadmap › issues › 1594
Support Fargate Spot for Graviton for ECS/EKS · Issue #1594 · aws/containers-roadmap
October 26, 2021 - It was great to see that now Graviton2 is supported on Fargate, but we are still missing spot support. Is this coming soon? I currently run most of my dev workloads in spot Fargate services, but I ...
Published Dec 07, 2021
Haykops
haykops.com › posts › terraform eks with karpenter, graviton, and spot instances
Terraform EKS with Karpenter, Graviton, and Spot Instances | Hayk Arabyan Personal Blog
December 15, 2024 - This repository contains Terraform code to deploy an EKS cluster on AWS, utilizing Karpenter for efficient node autoscaling. The cluster supports both x86 (amd64) and Graviton (arm64) architectures. Additionally, the configuration leverages Spot Instances for cost efficiency and includes a ...